Research on UI Visual Design of Intangible Cultural Heritage Digital Museum Based on User Experience

Tong, Yanting; Cui, Binyue; Chen, Yulin

doi:10.1109/iccse.2018.8468809

Cited by 7 publications

(3 citation statements)

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“…Additionally, the personality of the user should be considered when designing it. As an illustration, an impulsive user would pick a fast-paced, thrilling UI, whereas a cautious user might favor a more organized, predictable UI (Tong et al, 2018). Users' physical characteristics include things like their age, gender, and dexterity.…”

Section: Ui Preferences and User Identitymentioning

confidence: 99%

Using interface preferences as evidence of user identity: A feasibility study

Karim,

Abdulraheem,

Kanaker

et al. 2024

10.5267/j.ijdns

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Research on human-computer interaction currently focuses on enhancing system usability by establishing an appropriate user interface (UI) that depends on users’ features. Online users typically have different perceptions of their favored interface design depending on their preferences. Thus, those interface preferences could be utilized to recognize online users’ identities. User authentication is another critical issue that should be considered to improve online security mechanisms without compromising usability. This study investigates the feasibility of using UI preferences as evidence of user identity. The proposed method applies to the design preferences of users dealing with online systems (e.g., e-exam and e-banking). These preferences are closely associated with individual characteristics, whether physical, cognitive, psychological, psychomotor, demographic, or experience based. Many design characteristics could be used in online systems; for example, the e-exam interface design may use features such as the font (size, color, and face), the number of questions per page, background color, questions group, timer type, and sound alert. The feasibility evaluation of this study indicated that 96.8% of research participants have variations in their preferences, and each participant kept 94.5% of their design preferences throughout different sessions.

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Section: Ui Preferences and User Identitymentioning

confidence: 99%

Using interface preferences as evidence of user identity: A feasibility study

Karim,

Abdulraheem,

Kanaker

et al. 2024

10.5267/j.ijdns

View full text Add to dashboard Cite

show abstract

“…Ecelbarger, Hamlin, and McMcGrath have done this in the case of a web-based scheduling application [4]. Tong, Cui, and Chen have applied it to a more interactive mobile application like museum simulations [5]. Both studies have reported better results in terms of user experience.…”

Section: Previous Studymentioning

confidence: 99%

Design and Evaluation of Bible Learning Application using Elements of User Experience

Allotodang¹,

Tolle²,

Dengen³

2021

IJACSA

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Technological developments can encourage children to learn easily and help solve problems that often arise in the learning process. Sunday School students need learning media to make it easier to understand Christian Education. The method used in Sunday Schools still uses conventional methods which include face-to-face teaching and learning in class. This method often faces various challenges such as student's lack of focus. One of the solutions that are proposed in this paper is to design an Android-based learning application that will support the learning process. Application User Interface and User Experience (UI/UX) design will be built based on the Elements of User Experience methodology. The Elements of User Experience method will be used in the analysis and design process to maximize the usability and engagement level of the application. The learning materials will be designed based on Attention, Relevance, Confidence, and Satisfaction (ARCS) framework. ARCS will help the material design process to ensure the clarity and appropriateness of the material. The application will be implemented and tested on students to measure its effectiveness. The application trial has shown a promising improvement especially in student's engagement toward the materials.

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“…The nonlegacy digital museums are a platform that caters to a variety of audiences. As a result, determining the type of information and functionality people need may aid in determining how to deliver the material and functionality [2].…”

Section: Introductionmentioning

confidence: 99%

Application of Digital Twin Combined with Artificial Intelligence and 5G Technology in the Art Design of Digital Museums

Zhao

Guo

2022

Wireless Communications and Mobile Computing

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More and more museums are being established or restored as people’s cultural levels grow. A digital twin is a computerized representation of the physical object or phenomenon, which acts as its real-time digital equivalent. Artificial intelligence (AI) is becoming increasingly widespread, and museums and art shows will need to change their old working and thinking processes to fully fulfill their potential. In an increasingly digital world, combining AI technologies and wearable devices into digital museums could assist in boosting involvement. It is necessary to investigate AI’s strategic function and application in affecting tourist experiences at art galleries and museums, as well as its potential to improve education. Also, digital twin (DT) paves the way to alleviate difficulties or might improve access to digital museums via digital experiences. The historical report recommends that digital museum items be represented in a way that poses the fewest threats to its legitimacy. Owing to its uniqueness and vulnerability to substantial environmental dangers, the safeguarding of art and cultural heritage in digital museums is a serious issue. There are many approaches for assessing the state of artistic heritage and protecting it from extreme acts. The current study offers a framework for digitized museum art design based on the utilization of digital twin (DT), artificial intelligence (AI), and fifth-generation (5G) technologies. Further to enhance the security of the system, we employ the improved blowfish encryption algorithm (IBEA). Also, the authentication is done using the Diffie-Hellman protocol. The proposed system is simulated using MATLAB, and its performance is analyzed and compared with conventional systems. From the result obtained, it was revealed that the suggested methodology express high range of security level (95%) than the existing mechanisms. This study is very important in two directions: (1) it presents an analytical structure for having to adapt digital information to complicated systems in museums and (2) it explains the artistic obstacles for heritage properties, such as accessibility, execution time, security level, and the efficiency of 3-dimensional designs.

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Research on UI Visual Design of Intangible Cultural Heritage Digital Museum Based on User Experience

Cited by 7 publications

References 0 publications

Using interface preferences as evidence of user identity: A feasibility study

Using interface preferences as evidence of user identity: A feasibility study

Design and Evaluation of Bible Learning Application using Elements of User Experience

Application of Digital Twin Combined with Artificial Intelligence and 5G Technology in the Art Design of Digital Museums

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